This dataset has 33 different proteins. 20 proteins have at least one glycoforms detected, while 13 do not have any glycoforms.
Five Proteins have calibration curves. They are Clus, ApoC1, ApoA1, ApoD, and ApoE. The calculated calibration curve parameters are below:
This calibration curve has a decent \(R^2\) value.
Calculated calibration parameters:
"The dataset only has one CLUS peptide, QuantPep-CLUS_ASSIIDELFQDR Results, which ranges from 867.9513116 to 7419.8085748, that is perfectly in the range of the calibration curve.
This curve has a great \(R^2\), with the calculated parameters:
There is also only one ApoC1, pep-APOC1-QSELSAK Results, ranges from 1929.9715452 to 4.830865110^{5}. There seems to be one person with an extreme high value.
The ApoA1 curve does not seem to be very ideal. The calculated parameters are blow:
There are two ApoA1 peptides:
pep-APOA1_LAEYHAK Results, ranges from 4.155885510^{5} to 2.418370310^{6}QuantPep-APOA1_DLATVYVDVLK Results, ranges from 1.223072410^{5} to 5.346366710^{6}Both the peptides are in a range that is higher than the highest point of the calibration curve.
This calibration curve is perfect.
The ApoD peptide, QuantPep-APOD_VLNQELR Results, ranges from 9.849202910^{4} to 7.600105310^{5}
The ApoE calibration curve is also perfect. The parameters are:
Three ApoE peptides are found from the dataset:
pep-APOE_LGPLVEQGR_z3 Results, ranges from 6941.3588049 to 3.004544310^{5}pep-APOE_LGPLVEQGR_z4 Results, ranges from 6816.4719865 to 2.901641310^{5}APOE_AATVGSLAGQPLQER_z2 Results, ranges from 1696.1124313 to 7.50223710^{4}Many proteins have multiple peptides reported. Which peptide should we used to report the “abundance” of the particular protein? Should we use the one with the highest response (intensity)?
Which peptide should we use to calculate the concentration with the calibration curves?
The ApoA1 curve does not seem to be ideal